Deployment.io
Harness
Jenkins
Render UIKit
GitHub Actions
Heroku
Vercel
Section.io
Apache Kafka
RabbitMQ
Apache ActiveMQ
StatCounter
Amazon SQS
Histats
AFSAnalytics
IBM MQ
Deployment simplifies continuous code integration and delivery automation for startups and agile engineering teams on the AWS cloud, eliminating the need for DevOps engineering. A developer can deploy static sites, web services, and environments without knowledge of AWS or DevOps. Deployment supports previews on pull requests and automatic deployments on code push without manual setup or scripting. It enables engineering teams to focus on tasks that add customer value instead of worrying about DevOps-related grunt work.
Deployment.io Apache KafkaNo features have been listed yet.
Deployment.io's answer
I led engineering teams at early-stage startups and realized that startups waste 70% of valuable engineering time on tedious, non-coding tasks that they can easily automate.
To solve this problem, we've built Deployment.io so engineering teams at startups can focus on writing more code that adds value and helps them achieve PMF faster.
Deployment.io's answer
ReactJs using Typescript, GatsbyJs using Typescript, GoLang, and AWS
Deployment.io's answer
Deployment.io is built and designed for startups. Our customers can onboard in 5 minutes and start deploying apps to AWS without any DevOps or AWS knowledge. Other platforms are complex and require scripting or DevOps knowledge. They are built for bigger companies with a lot of resources.
Deployment.io's answer
Startups and agile engineering teams should choose Deployment.io for the simplicity and ease of use. Our competitors are complex and are designed for bigger companies.
Deployment.io's answer
For startups, speed and focus are crucial. Our primary audience is engineering teams at startups that want to focus on building code that adds value and not on DevOps related grunt work.
Deploying web apps on AWS has never been this easy and it also takes care of scaling based on usage.
Based on our record, Apache Kafka seems to be more popular. It has been mentiond 122 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Apache Kafka is a powerful tool for building EDA systems. It’s an open-source platform designed for handling real-time data feeds. Apache Kafka on Heroku is a Heroku add-on that provides Kafka as a service. Heroku makes it pretty easy to deploy and manage applications, and I’ve been using it more in my projects recently. Combining Kafka with Heroku simplifies the setup process when you want to run an event-driven... - Source: dev.to / 5 days ago
Choose a consistent communication protocol for inter-service communication. Common protocols include HTTP, gRPC, and message brokers like RabbitMQ or Kafka. NestJS supports various communication strategies, allowing you to choose the one that best fits your needs. - Source: dev.to / 24 days ago
In today’s fast-paced digital landscape, effective data management and analysis are essential for businesses aiming to stay ahead of the curve. Fortunately, modern tools like Apache Kafka and RudderStack have revolutionized the way we handle and derive insights from large datasets. In this blog post, we’ll explore our experience implementing the Kafka Sink Connector to facilitate seamless event data transfer to... - Source: dev.to / 3 months ago
Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a... - Source: dev.to / 5 months ago
Apache Kafka is a distributed streaming platform capable of handling high throughput of data, while ReductStore is a databases for unstructured data optimized for storing and querying along time. - Source: dev.to / 5 months ago
Harness - Automated Tests For Your Web App
RabbitMQ - RabbitMQ is an open source message broker software.
Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development
Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.
Render UIKit - React-inspired Swift library for writing UIKit UIs
StatCounter - StatCounter is a simple but powerful real-time web analytics service that helps you track, analyse and understand your visitors so you can make good decisions to become more successful online.